Publications

PhD Thesis: A Framework to improve Turbulence Models using Full-field Inversion and Machine Learning, AP Singh, 2018

Journal #

Machine Learning-augmented Predictive Modeling of Turbulent Separated Flows over Airfoils, AP Singh, S Medida, and K Duraisamy, AIAA Journal, 2017

Using field inversion to quantify functional errors in turbulence closures, AP Singh and K Duraisamy, Physics of Fluids, 2016

Peer-reviewed Conference #

Data-driven augmentation of turbulence models for adverse pressure gradient flows, AP Singh, R Matai, K Duraisamy, and P Durbin, AIAA Aviation, 2017

Characterizing and improving predictive accuracy in shock-turbulent boundary layer interactions using data-driven models, AP Singh, S Pan, and K Duraisamy, AIAA SciTech, 2017

Augmentation of turbulence models using field inversion and machine learning, K Duraisamy, AP Singh, and S Pan, AIAA SciTech, 2017

Informing Turbulence Closures With Computational and Experimental Data, K Duraisamy and AP Singh, AIAA SciTech, 2016

New approaches in turbulence and transition modeling using data-driven techniques, K Duraisamy, ZJ Zhang, and AP Singh, AIAA SciTech, 2015

Multi Fidelity Aerodynamic Design of Ducted Microscale Rotor Systems, AP Singh and K Duraisamy, AHS Forum 70, 2014

Talks #

Field Inversion and Machine Learning for Predictive Turbulence Modeling, AP Singh and K Duraisamy, Advances in Turbulence Modeling Symposium, University of Michigan, 2017

Data-Driven Predictive Modeling of RANS Model Discrepancies (Invited), AP Singh and K Duraisamy, SIAM Conference on Computational Science and Engineering, 2017

Machine Learning-Assisted Predictions of Turbulent Separated Flows over Airfoils, AP Singh, S Medida, and K Duraisamy, 69th Annual APS DFD Meeting, 2016

Full field inversion: A tool to diagnose and improve closure models, AP Singh and K Duraisamy, 68th Annual APS DFD Meeting, 2015